feat: federated learning demo on the actor framework

Add a FedAvg fraud-detection application in two topologies: provider
mode (coordinator/trainer star) and P2P mode (full mesh with CRDT-gated
rounds), backed by an MLP trained on PaySim data with a synthetic
fallback, plus demo scripts for both modes.

Also harden the actor runtime:
- supervisor: ignore stale death messages (OneForAll restart storm),
  drop normally-exited children instead of respawning, add a
  restart-rate limit
- register actors before their thread starts so UUID dispatch and
  getSelf cannot race the spawn
- killActor now kills the thread so links see Killed
- fulfill connection promises with the pool winner on simultaneous
  connects
- clamp the PaySim test split on small datasets and split shared
  transaction types across trainers in non-IID partitioning

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

This commit is contained in:

dvdrw

2026-06-21 12:00:00 +02:00

parent 9a52fc5089

commit 6822d6c520

25 changed files with 2127 additions and 115 deletions

									
										src/Control/Actor.hs
									
		+2
		
												View File
												
				@@ -5,6 +5,8 @@ module Control.Actor

				  , module Control.Actor.Core

				  , module Control.Actor.Supervision

				  , module Control.Actor.Network

				  -- Initialization

				  , initRuntime

				  -- Demo

				  , pingActor

				  , forwardActorWithCell